Meibao Yao

Orcid: 0000-0002-7069-6782

According to our database1, Meibao Yao authored at least 24 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
AirFormer: Learning-Based Object Detection for Mars Helicopter.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024
When Process Analysis Technology Meets Transfer Learning: A Model Transfer Strategy Between Different Spectrometers for Quantitative Analysis.
IEEE Trans. Instrum. Meas., 2024

3-D Semantic Terrain Reconstruction of Monocular Close-Up Images of Martian Terrains.
IEEE Trans. Geosci. Remote. Sens., 2024

MarsScapes and UDAFormer: A Panorama Dataset and a Transformer-Based Unsupervised Domain Adaptation Framework for Martian Terrain Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2024

DynaInsRemover: A Real-time Dynamic Instance-Aware Static 3D LiDAR Mapping Framework for Dynamic Environment.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Layer-Wise Pruning Ratios Auto-configuration: A One-Shot Channel Pruning Through Sensitivity and Spatial Analysis.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023
A Kernel-Based Multi-Featured Rock Modeling and Detection Framework for a Mars Rover.
IEEE Trans. Neural Networks Learn. Syst., July, 2023

When Convolutional Neural Networks Meet Laser-Induced Breakdown Spectroscopy: End-to-End Quantitative Analysis Modeling of ChemCam Spectral Data for Major Elements Based on Ensemble Convolutional Neural Networks.
Remote. Sens., July, 2023

MarsScapes, a Panorama Dataset for Mars Terrain Understanding.
Dataset, March, 2023

MarsData-V2, a rock segmentation dataset of real Martian scenes.
Dataset, January, 2023

MarsFormer: Martian Rock Semantic Segmentation With Transformer.
IEEE Trans. Geosci. Remote. Sens., 2023

RockFormer: A U-Shaped Transformer Network for Martian Rock Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2023

Co-optimization of Morphology and Behavior of Modular Robots via Hierarchical Deep Reinforcement Learning.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

DC-MOT: Motion Deblurring and Compensation for Multi-Object Tracking in UAV Videos.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

A Data Enhancement Strategy for Multi-Agent Cooperative Hunting based on Deep Reinforcement Learning.
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023

A Lightweight Framework for Objection Detection in Adverse Lighting Conditions.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

2022
Mapless Navigation of Modular Mobile Robots using Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Industrial Technology, 2022

2021
A fast terminal sliding mode control scheme with time-varying sliding mode surfaces.
J. Frankl. Inst., 2021

An Adaptive Backstepping-Based Controller for Trajectory Tracking of Wheeled Robots.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

Svrat: A Skeleton-Based Intelligent Monitoring System for Violence Recognition and Abuser Tracking.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020
An Actuation Fault Tolerance Approach to Reconfiguration Planning of Modular Self-folding Robots.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
A reconfiguration strategy for modular robots using origami folding.
Int. J. Robotics Res., 2019

2018
Towards Peak Torque Minimization for Modular Self-Folding Robots.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Auto Rock Detection via Sparse-Based Background Modeling for Mars Rover.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018


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